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Genetic and Environmental Contributions to Functional Connectivity Architecture of the Human Brain

Overview of attention for article published in Cerebral Cortex, February 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
33 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
99 Dimensions

Readers on

mendeley
174 Mendeley
citeulike
1 CiteULike
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Title
Genetic and Environmental Contributions to Functional Connectivity Architecture of the Human Brain
Published in
Cerebral Cortex, February 2016
DOI 10.1093/cercor/bhw027
Pubmed ID
Authors

Zhi Yang, Xi-Nian Zuo, Katie L. McMahon, R. Cameron Craddock, Clare Kelly, Greig I. de Zubicaray, Ian Hickie, Peter A. Bandettini, F. Xavier Castellanos, Michael P. Milham, Margaret J. Wright

Abstract

One of the grand challenges faced by neuroscience is to delineate the determinants of interindividual variation in the comprehensive structural and functional connection matrices that comprise the human connectome. At present, this endeavor appears most tractable at the macroanatomic scale, where intrinsic brain activity exhibits robust patterns of synchrony that recapitulate core functional circuits at the individual level. Here, we use a classical twin study design to examine the heritability of intrinsic functional network properties in 101 twin pairs, including network activity (i.e., variance of a network's specific temporal fluctuations) and internetwork coherence (i.e., correlation between networks' specific temporal fluctuations). Five of 7 networks exhibited significantly heritable (23.3-65.2%) network activity, 6 of the 21 internetwork coherences were significantly heritable (25.6-42.0%), and 11 of the 21 internetwork coherences were significantly influenced by common environmental factors (18.0-47.1%). These results suggest that the source of interindividual variation in functional connectome has a modular architecture: individual modules represented by intrinsic connectivity networks are genetic controlled, while environmental factors influence the interplays between the modules. This work further provides network-specific hypotheses for discovery of the specific genetic and environmental factors influencing functional specialization and integration of the human brain.

X Demographics

X Demographics

The data shown below were collected from the profiles of 33 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Germany 1 <1%
Netherlands 1 <1%
India 1 <1%
Hong Kong 1 <1%
Singapore 1 <1%
United Kingdom 1 <1%
Unknown 166 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 29%
Researcher 32 18%
Student > Master 15 9%
Student > Bachelor 11 6%
Professor 9 5%
Other 35 20%
Unknown 21 12%
Readers by discipline Count As %
Neuroscience 46 26%
Psychology 38 22%
Medicine and Dentistry 20 11%
Agricultural and Biological Sciences 10 6%
Engineering 6 3%
Other 14 8%
Unknown 40 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 November 2023.
All research outputs
#1,154,056
of 25,375,376 outputs
Outputs from Cerebral Cortex
#372
of 5,200 outputs
Outputs of similar age
#18,970
of 304,744 outputs
Outputs of similar age from Cerebral Cortex
#12
of 99 outputs
Altmetric has tracked 25,375,376 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,200 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 304,744 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.